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Statistical modeling of in-plane permeability of non-woven random fibrous reinforcement

机译:无纺布随机纤维增强材料的面内渗透性统计模型

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摘要

A methodology has been proposed for statistical characterization of transport behavior of a typical random fibrous medium, i.e. the Chopped Strand Mat (CSM). For any given digital images of fabric sample, statistical description of the random microstructure is employed to evaluate the permeability field, in the framework of the statistical continuum approach. By choosing suitable sampling strategy, the evaluated permeability field can be used to predict the realistic fluctuation in the flow pattern in the RTM mold-filling process with a high accuracy, as validated by the radial injection experiments. The method can be generalized to other random fibrous media. Using a database of CSM samples, statistical characterization of fiber volume fraction and permeability fields is performed respectively. Important statistical properties, e.g. the RVE size, marginal PDF and correlation length have been provided for the transport properties of the CSM, as the basis for the input data for stochastic simulation of composite processing.
机译:已经提出了用于统计表征典型的随机纤维介质,即切碎的纤维毡(CSM)的运输行为的方法。对于任何给定的织物样品数字图像,在统计连续方法的框架内,采用随机微观结构的统计描述来评估渗透率场。通过选择合适的采样策略,评估的渗透率字段可用于预测RTM模具填充过程中流型的实际波动,这已通过径向注射实验进行了验证。该方法可以推广到其他随机纤维介质。使用CSM样本数据库,分别进行纤维体积分数和渗透率场的统计表征。重要的统计属性,例如为CSM的传输特性提供了RVE大小,边际PDF和相关长度,作为复合加工过程随机模拟输入数据的基础。

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  • 来源
    《Composites Science and Technology》 |2012年第12期|p.1368-1379|共12页
  • 作者单位

    Eco/e des Mines de Douai. Polymers and Composites Technology & Mechanical Engineering Department, 941 rue Charles Bourseul, 59508 Douai, France;

    Eco/e des Mines de Douai. Polymers and Composites Technology & Mechanical Engineering Department, 941 rue Charles Bourseul, 59508 Douai, France,Research Institute in Civil Engineering and Mechanics (CeM), UMR CNRS 6183, Ecole Centrale de Nantes, University of Nantes, 1 rue de la Noe, 44321 Nantes, France;

    Eco/e des Mines de Douai. Polymers and Composites Technology & Mechanical Engineering Department, 941 rue Charles Bourseul, 59508 Douai, France,Research Institute in Civil Engineering and Mechanics (CeM), UMR CNRS 6183, Ecole Centrale de Nantes, University of Nantes, 1 rue de la Noe, 44321 Nantes, France;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    A. Structural composites; B. Transport properties; C. Statistics; Random microstructure;

    机译:A.结构复合材料;运输属性;C.统计;微观组织;

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